Sunandan Chakraborty
School of Informatics and Computing, Indiana University – IUPUI, USA
Title: Text mining and information extraction from medical text
Biography
Biography: Sunandan Chakraborty
Abstract
Introduction and wide-spread use of Electronic Health Record (EHR), supplemented by scholarly articles published in medical journals, led to a huge repository of information and data about medical and health related topics. However, this data can be overwhelming due to its size and can be hard to analyze because of it heterogeneity and unstructured nature. Automatic text mining approaches on this data can help to minimize the information overload problem, integrate knowledge from disparate sources and discover latent patterns within the data. All this can greatly benefit health care by not only being able to provide better services to the patients but also to the clinicians, service providers and medical researchers. In this talk I intend to provide a brief survey of various medical text mining techniques used and some typical problems addressed in the domain using these techniques. I shall conclude the talk by giving an overview of my own research in the medical text mining area, which will include "Disease Outbreak Prediction using News Events" and "Unearthing Causal Cues from Medical Texts".